Javier Baudracco

556 total citations
27 papers, 428 citations indexed

About

Javier Baudracco is a scholar working on Agronomy and Crop Science, Genetics and Environmental Chemistry. According to data from OpenAlex, Javier Baudracco has authored 27 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Agronomy and Crop Science, 11 papers in Genetics and 8 papers in Environmental Chemistry. Recurrent topics in Javier Baudracco's work include Ruminant Nutrition and Digestive Physiology (17 papers), Genetic and phenotypic traits in livestock (11 papers) and Pasture and Agricultural Systems (6 papers). Javier Baudracco is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (17 papers), Genetic and phenotypic traits in livestock (11 papers) and Pasture and Agricultural Systems (6 papers). Javier Baudracco collaborates with scholars based in Argentina, New Zealand and Uruguay. Javier Baudracco's co-authors include N. López‐Villalobos, Harry Hoffmann, A. Heißenhuber, C. W. Holmes, T. N. Barry, K.A. Macdonald, N.A. Lyons, Víctor Pereira, N.C. Friggens and Ruth Rodríguez‐Bermúdez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Animal Feed Science and Technology and Agricultural Systems.

In The Last Decade

Javier Baudracco

26 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javier Baudracco Argentina 9 223 155 150 88 53 27 428
Emilio Sabia Italy 15 165 0.7× 186 1.2× 103 0.7× 177 2.0× 43 0.8× 43 529
K. Sommart Thailand 12 415 1.9× 148 1.0× 116 0.8× 174 2.0× 24 0.5× 40 559
J.R. Bryant New Zealand 15 300 1.3× 104 0.7× 198 1.3× 167 1.9× 79 1.5× 29 598
A. van der Linden Netherlands 11 105 0.5× 110 0.7× 62 0.4× 74 0.8× 39 0.7× 41 317
Andreas Steinwidder Austria 11 197 0.9× 110 0.7× 140 0.9× 83 0.9× 35 0.7× 45 358
T. C. M. Genro Brazil 15 466 2.1× 192 1.2× 129 0.9× 99 1.1× 39 0.7× 48 649
Audrey Fanchone France 11 196 0.9× 86 0.6× 93 0.6× 73 0.8× 34 0.6× 25 349
V. A. Wilkerson United States 9 378 1.7× 109 0.7× 142 0.9× 112 1.3× 95 1.8× 12 489
G.C. Waghorn New Zealand 13 435 2.0× 107 0.7× 135 0.9× 72 0.8× 65 1.2× 25 560
MM Scholtz South Africa 10 169 0.8× 124 0.8× 141 0.9× 126 1.4× 19 0.4× 26 375

Countries citing papers authored by Javier Baudracco

Since Specialization
Citations

This map shows the geographic impact of Javier Baudracco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Javier Baudracco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Baudracco more than expected).

Fields of papers citing papers by Javier Baudracco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Baudracco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Javier Baudracco. The network helps show where Javier Baudracco may publish in the future.

Co-authorship network of co-authors of Javier Baudracco

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Baudracco. A scholar is included among the top collaborators of Javier Baudracco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Baudracco. Javier Baudracco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Baudracco, Javier, et al.. (2024). Traditional cow-calf systems of the northern region of Santa Fe, Argentina: current situation and improvement opportunities. Revista de la Facultad de Ciencias Agrarias UNCuyo. 56(1). 106–116.
2.
Berhongaray, Gonzalo, et al.. (2024). Evaluation of forage resources under poorly drained soils for dairy systems. 1(1). 1 indexed citations
3.
Llonch, Pol, et al.. (2024). Animal welfare on Argentinean dairy farms based on the Welfare Quality® protocol framework. Journal of Animal Behaviour and Biometeorology. 12(2). 2024010–2024010. 1 indexed citations
4.
Vargas‐Bello‐Pérez, Einar, Manuel González-Ronquillo, Juan Carlos Ángeles-Hernández, et al.. (2024). The role of artificial intelligence in Latin American ruminant production systems. Animal Frontiers. 14(6). 23–32. 2 indexed citations
5.
Ojeda, Jonathan J., et al.. (2022). Yield gaps of lucerne (Medicago sativa L.) in livestock systems of Argentina. Annals of Applied Biology. 181(1). 22–32. 5 indexed citations
6.
Baudracco, Javier, et al.. (2022). Strategies to double milk production per farm in Argentina: Investment, economics and risk analysis. Agricultural Systems. 197. 103366–103366. 5 indexed citations
7.
Rodríguez‐Bermúdez, Ruth, et al.. (2019). Breeding for organic dairy farming: what types of cows are needed?. Journal of Dairy Research. 86(1). 3–12. 32 indexed citations
8.
Baudracco, Javier, et al.. (2019). Review: Milk production from dairy cows in Argentina: Current state and perspectives for the future. Applied Animal Science. 35(4). 426–432. 29 indexed citations
9.
López‐Villalobos, N., et al.. (2017). Productive, economic and risk assessment of grazing dairy systems with supplemented cows milked once a day. animal. 12(5). 1077–1083. 7 indexed citations
10.
Baudracco, Javier, et al.. (2015). Calibrating APSIM model to evaluate dryland potential production of Lucerne in NW Santa Fe. eCite Digital Repository (University of Tasmania). 1 indexed citations
11.
Baudracco, Javier, et al.. (2015). Methodology to estimate the cost of delayed pregnancy for dairy cows. An example for Argentina. Revista Brasileira de Zootecnia. 44(6). 226–229. 12 indexed citations
12.
13.
López‐Villalobos, N., et al.. (2011). Efficiency, cheese yield and carbon emissions of Holstein-Friesian, Jersey and crossbred cows: an overview. Proceedings of the New Zealand Society of Animal Production. 71. 214–218. 2 indexed citations
14.
Baudracco, Javier, et al.. (2011). Does increasing milk yield per cow reduce greenhouse gas emissions? A system approach. animal. 6(1). 154–166. 112 indexed citations
15.
Baudracco, Javier, N. López‐Villalobos, C. W. Holmes, et al.. (2011). e-Cow: an animal model that predicts herbage intake, milk yield and live weight change in dairy cows grazing temperate pastures, with and without supplementary feeding. animal. 6(6). 980–993. 33 indexed citations
16.
Baudracco, Javier, et al.. (2011). Effects of stocking rate on pasture production, milk production and reproduction of supplemented crossbred Holstein–Jersey dairy cows grazing lucerne pasture. Animal Feed Science and Technology. 168(1-2). 131–143. 33 indexed citations
17.
Baudracco, Javier, et al.. (2010). Effects of stocking rate, supplementation, genotype and their interactions on grazing dairy systems: a review. New Zealand Journal of Agricultural Research. 53(2). 109–133. 87 indexed citations
18.
Baudracco, Javier, N. López‐Villalobos, C. W. Holmes, & K.A. Macdonald. (2010). Prediction of herbage dry matter intake for dairy cows grazing ryegrass-based pastures.. Proceedings of the New Zealand Society of Animal Production. 70. 80–85. 13 indexed citations
19.
Conner, David, et al.. (2008). Fostering Farm-to-MSU efforts: Research to guide closer ties with Michigan agriculture.. Journal of the American Dietetic Association. 3 indexed citations
20.
Baudracco, Javier, N. López‐Villalobos, Peter Kemp, et al.. (2006). Development of a model to predict pasture intake for grazing dairy cows in Argentina. Proceedings of the New Zealand Society of Animal Production. 66. 35–41. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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